Marius Lindauer

the TAE module is independent of the used SMAC mode (AC, HPO, BO). Therefore, it should work fine with all or with none. I also verified that I can run...

If I remember correctly, instead of using `partial` using `lambda` worked fine.

@PhMueller Was this fixed in any PR? You closed #573 before mergening and if I'm not wrong, it is still not fixed in the dev branch.

I think that makes a lot of sense. It will make it easier to compare different optimizers with each other if we can block the initial design.

@mfeurer I don't think this solves the issue. Right now, we measure wallclock time in intensification to balance challenger selection and intensification. Since the wallclock time is much smaller when...

Hi Jendrik, I would say that users should not change options such as `self.solver.scenario.acq_opt_challengers` at all. I also don't believe that this will fix your memory problem. Looking into the...

I don't think so. But I would need either a toy example to reproduce the problem on my machine or at the very least a debug output s.t. I have...

Hi, Thank you for the example. Some comments: 1. I would not recommend to limit virtual memory, since languages such as Java and Python will reserve more virtual memory than...

I completely agree regarding 2., but this is not trivial to implement for complex configuration spaces with conditionals and forbidden constraints. Essentially this leads to counting all solutions of a...

Hi, Thanks for reporting this issue. In fact, SMAC does not track whether the configuration space was exhaustively covered, and thus SMAC will not terminate in this case. Fixing this...